TechNow has heard many students talk about virtualized/remote training that TechNow Does Not Do.  While training our most recent offering of PA-215: Palo Alto Networks Firewall Essentials FastTrack a student told his story of how he endend up in our course.  His story we have heard for other technologies like Cisco, VMware, BlueCoat and other products.

A large percentage of training is moving to the virtualized/remote lab environments.  Students are asked to use some variant of remote access software and remote into the training company's lab environment. Our student in our Palo Alto Networks Firewall course informed us that he went to a very costly offering of that course from the vendor and was not able to perform any labs.  There were either network connectivity issues, or issues with the remote access software, or other problems.  The whole training experience was very frustrating and not productive.

We keep our labs open to students if they would like after hours, or before hours access.  Repeatedly going through a lab engrains that knowledge for later recall.  Touching hardware is so critical in understanding the problems that arise when a cable comes loose, or a cable gets plugged in the wrong port.  There are other scenarios such as just pulling the power cable, or turning off a power strip, or accidently overwriting a configuration.  These disaster scenarious requires hands-on physical access to hardware.  Preventing and recovering from disasters is what it's all about, and that requires hands-on, instructor led, real hardware.

Here are the security courses specific to TechNow:

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Course Description:

Artificial Intelligence Essentials (AIE) is a foundational AI literacy certification that builds practical understanding of AI and responsible use

The Artificial Intelligence Essentials (AIE) Course is designed to prepare learners for the newly Artificial Intelligence Essentials (AIE) exam. This hands-on program introduces professionals to core AI concepts, practical tools, and safe real-world applications. It equips learners to understand AI systems, use AI responsibly, and boost productivity across roles and industries

Participants will gain knowledge in understanding how AI systems work, where they are used, how they influence decision-making, and how they should be applied responsibly in everyday, professional, and organizational contexts. The course covers what AI is and what it is not, how data and models drive AI behavior, and how modern AI systems differ from traditional software. Learners develop the ability to interact effectively with AI tools, evaluate AI outputs with informed judgment, and apply responsible practices aligned with privacy, security, and global regulatory expectations.

By the end of the course, learners will be prepared to use AI confidently, safely, and productively while recognizing limitations, ethical risks, and broader societal impacts. It serves as a universal entry point before any technical, managerial, security, or governance specialization in AI.

Course Outline: 

01. Introduction to Artificial Intelligence

02. Everyday AI Tools and Use Cases

03. Building Blocks of AI

04. Prompt Crafting AI-Driven Interactions

05. AI Ethics and Responsible AI

Dates/Locations:

No Events

 

Course Overview:

In this course, the students will implement various data platform technologies into solutions that are in-line with business and technical requirements, including on-premises, cloud, and hybrid data scenarios incorporating both relational and NoSQL data. They will also learn how to process data using a range of technologies and languages for both streaming and batch data.

The students will also explore how to implement data security, including authentication, authorization, data policies, and standards. They will also define and implement data solution monitoring for both the data storage and data processing activities. Finally, they will manage and troubleshoot Azure data solutions which includes the optimization and disaster recovery of big data, batch processing, and streaming data solutions.

TechNow has worked worldwide enterprise infrastructures for over 20 years and has developed demos and labs to exemplify the techniques required to demonstrate cloud technologies and to effectively manage security in the cloud environment.

Attendees to DP-200: Implementing an Azure Data Solution will receive TechNow approved course materials and expert instruction.

Date/Locations:

No Events

Course Duration: 4 days

Course Outline:

  • Azure for the Data Engineer
  • Working with Data Storage
  • Enabling Team Based Data Science with Azure Databricks
  • Building Globally Distributed Databases with Cosmos DB
  • Working with Relational Data Stores in the Cloud
  • Performing Real-Time Analytics with Stream Analytics
  • Orchestrating Data Movement with Azure Data Factory
  • Securing Azure Data Platforms
  • Monitoring and Troubleshooting Data Storage and Processing

Prerequisites :

      • In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:
      • AZ-900: Microsoft Azure Fundamentals

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Course Overview

Sharepoint is becoming an institution in the modern office.  Collaboration, file sharing, and even internal social sites are all available in SharePoint 2010/2013. Take advantage of all that Sharepoint has to offer.  Learn to install, configure and administer SharePoint 2010/2013, by taking this 5 day course.

Attendees to MS-10174: Configuring and Administering SharePoint 2010/2013 will receive TechNow approved course materials and expert instruction.

Dates/Locations

No Events

Duration: 5 Days

Course Objectives:

  • Prepare and Install SharePoint 2010/2013
  • Configure the Fundamental Services and Logical Components
  • Administer SharePoint Using Command Line, User Interface and Powershell
  • Manage Content in Lists and Libraries
  • Install, Configure, and Operate a SharePoint Farm

Prerequisites

  • Students should be experienced Windows 2003 or Windows 2008 server administrators

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